All today’s slides, code, and rmarkdown files are available here
Downloading the workshop material from the terminal:
git clone https://github.com/RamiKrispin/Time-Series-Workshop.git
Or lunch it on a docker container:
Time series data - is a sequence of values, each associate to a unique point in time
Regular time series - is a sequence of observations which were captured at equally spaced time intervals (e.g., every month, week, day, hour, etc.)
Irregular time series - or unevenly spaced time series, is a sequence of observations which were not captured on equally spaced time intervals (for example rainy days, earthquakes, etc.)
Note: typically, the term time series data referred to regular time-series data.
Time series analysis - is the process of extracting meaningful insights from time series data in order to learn about the past and predict the future